Databricks Exam Databricks-Machine-Learning-Professional Topic 6 Question 28 Discussion

Actual exam question for Databricks's Databricks Certified Machine Learning Professional exam

Question #: 28
Topic #: 6

[All Databricks Certified Machine Learning Professional Questions]

Which of the following Databricks-managed MLflow capabilities is a centralized model store?

AModels

BModel Registry

CModel Serving

DFeature Store

EExperiments

Show Suggested Answer

Suggested Answer: C

by Cecily at Sep 17, 2024, 11:47 AM

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Jerry

1 days ago

B. Model Registry. Duh! I mean, where else would you keep your models? The fridge?

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Pok

2 days ago

Model Registry all the way! Keeping my models in a centralized location is a must for any serious machine learning project.

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Delsie

7 days ago

Hmm, I'm torn between B and D. Feature Store could also be considered a centralized model store, but I think Model Registry is the better fit.

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Roxane

19 days ago

I'm not sure, but I think Model Serving could also be a centralized model store.

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Truman

21 days ago

I'm going with B. Model Registry. Gotta keep those models organized and accessible, you know?

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Florinda

5 days ago

I agree, Model Registry is definitely the way to go.

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Rodrigo

21 days ago

I agree with Lyda, Model Registry is where you can store all the models.

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Lyda

24 days ago

I think the centralized model store is Model Registry.

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Vilma

26 days ago

The Model Registry seems like the obvious choice here. It's a centralized place to store and manage machine learning models, right?

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Una

8 days ago

I agree, the Model Registry is where you can store and manage your machine learning models in a centralized way.

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Roslyn

21 days ago

Yes, you are correct. The Model Registry is indeed the centralized model store for Databricks-managed MLflow.

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